Aqueous organic flow batteries (AOFBs) hold promise for renewable energy integration and electricity grid storage due to their inherent safety, as well as the availability of naturally abundant and synthetically tunable organic redox-active molecules (ORAMs). However, challenges such as low energy density, poor stability at high concentrations, and high synthesis costs hinder their commercial viability. Developing ORAMs that offer both high energy density and ultra-stable cycling performance is essential for advancing stationary energy storage solutions. Increasing the number of electron…

A Penn State engineering student refined a century-old math problem into a simpler, more elegant form, making it easier to use and explore. Divya Tyagi’s work expands research in aerodynamics, unlocking new possibilities in wind turbine design that Hermann Glauert, a British aerodynamicist and the original author, did not consider. Tyagi, a graduate student pursuing her master’s degree in aerospace engineering, completed this work as a Penn State undergraduate for her Schreyer Honors College thesis. Her research was published in Wind Energy Science….

Electricity generated using natural underground heat could become cost competitive with power from the grid by 2027 using enhanced geothermal systems, although care is still needed to address earthquake risks, researchers found Historically, access to geothermal energy has hinged on real estate’s famously three most important factors: location, location, and location. Because conventional geothermal power plants require hot, permeable rocks and plenty of underground fluid, use of the technology has been limited mostly to places with recent volcanism, such as Japan,…

As solar energy plays an increasing role in the global power supply, ensuring accurate forecasts of photovoltaic (PV) power generation is critical for balancing energy demand and supply. A new study published in Advances in Atmospheric Sciences explores how machine learning and statistical techniques can refine these forecasts by correcting errors in weather models. Weather forecasts are a key input for PV power prediction models, yet they often contain systematic errors that impact accuracy. Researchers from the Institute of Statistics…